
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "123"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 75 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 71 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.891183	-0.497843	14.171904	17.379482	6.955839	14.199536	10.402243	15.319205	0.7997	0.7953	0.2449	10.869908	10.054691
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.256818	3.008045	17.941884	20.896597	10.690432	19.874477	5.060876	5.213073	0.7459	0.7335	0.2524	4.887022	4.976913
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	2.147189	1.846871	9.261834	14.151393	-0.126478	-0.539399	-1.963310	-0.060926	0.0412	0.0324	0.0017	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.221340	4.839332	21.040437	24.949906	9.788160	17.445178	-1.827346	-1.930058	0.6945	0.6965	0.3547	6.718519	6.596272
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.471114	5.020056	18.700385	21.876237	10.456237	19.471635	-1.648013	-1.352351	0.6957	0.6952	0.3527	5.489480	5.322927
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.093927	3.466042	16.037597	18.799307	6.056778	10.764136	8.018468	8.975934	0.7334	0.7211	0.2801	6.016335	5.717740
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.054666	1.164746	21.131793	25.132124	7.874596	13.313134	7.134602	8.243477	0.7889	0.7662	0.2202	7.621175	6.756467
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	0.467213	0.649852	24.667537	46.657219	58.473341	83.252084	2.789938	7.752656	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	311.311787	311.347527	inf	inf	10.880734	10.668616	540.080454	528.780208	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.831039	-0.542540	3.988510	-0.167198	11.062566	11.785517	-1.673169	-0.182532	0.0350	0.0328	0.0009	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	21.269551	18.106787	36.363738	27.241653	32.243429	35.715169	3.278682	3.604004	0.6827	0.6904	0.3715	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.144717	4.243699	11.851342	9.402014	16.129792	16.241223	-1.900877	-1.393091	0.6826	0.6952	0.3738	3.794071	3.921730
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.526821	6.260468	12.350289	10.546133	12.669071	13.188572	-1.778219	-1.159213	0.6899	0.7020	0.3677	3.439660	3.079074
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.473301	4.652564	13.459605	10.908603	14.411727	13.821666	-1.765760	-0.956748	0.6800	0.6934	0.3695	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.593502	4.708755	15.473355	12.412203	15.947200	15.681660	-2.384212	-1.993176	0.6793	0.6909	0.3685	4.085967	4.034218
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.816770	5.704271	11.598972	9.677318	14.159642	14.299845	-1.705725	-1.097774	0.6674	0.6853	0.3769	4.018871	3.880550
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.965596	4.154212	8.766626	7.032047	13.118982	11.913791	-1.778200	-1.940973	0.7021	0.7181	0.3712	5.411712	5.402384
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.420127	3.321907	9.380672	7.542707	11.066787	9.961053	6.471954	4.769695	0.7435	0.7572	0.3348	5.963532	6.298631
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.153839	4.329474	8.543638	6.869548	14.401638	13.188485	-0.157451	-0.892563	0.6954	0.7130	0.3691	4.592866	4.534638
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.070026	5.178627	16.718678	13.853946	17.077452	15.982301	-2.129247	-1.759053	0.7007	0.7184	0.3665	3.994701	3.860193
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.583532	4.575460	8.790637	7.096810	10.916816	10.031675	-2.661087	-2.653588	0.6986	0.7141	0.3715	4.542705	4.428992
2459571	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	4.262085	4.212500	33.099598	32.199948	22.193080	37.212882	-0.065630	5.676199	0.7085	0.7270	0.3597	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.273514	-0.792167	-1.472950	-1.211629	-1.155940	-0.614771	-0.483200	0.119643	0.7238	0.7313	0.3440	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.330632	4.777794	11.961684	9.959229	13.079800	12.275863	-1.684880	-1.087143	0.6905	0.7032	0.3834	5.160525	5.133237
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.185699	1.486721	3.563711	1.358726	0.334311	-0.749078	-1.797427	-1.345701	0.7139	0.7177	0.3746	3.240182	2.921042
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.168259	5.190713	25.257841	20.969294	13.696626	13.102760	-1.797034	-1.740687	0.7079	0.7173	0.3717	3.834142	3.772469
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.039949	0.577917	1.336767	0.213576	0.119612	-1.159512	-1.453077	-1.316965	0.7116	0.7243	0.3681	3.000439	2.737750
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	35.957138	37.273656	11.389904	11.784586	46.157985	20.366992	3.136536	2.394622	0.0594	0.0511	0.0068	1.185907	1.189135
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.031804	0.867972	1.475884	0.598453	0.473897	-0.087507	-1.762895	-1.665474	0.7045	0.7171	0.3802	3.094404	2.808921
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.818851	1.435693	2.065942	1.053289	0.804293	0.303635	-1.529992	-1.460258	0.7066	0.7200	0.3737	2.851196	2.620596
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.068324	5.323296	13.615612	10.961731	15.280190	13.051052	-1.529971	-1.821993	0.7101	0.7168	0.3752	3.419405	3.239540
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.854808	5.735188	14.201839	11.291504	13.866914	11.630371	-1.891350	-2.971619	0.7132	0.7189	0.3696	3.250698	3.101890
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7092	0.7209	0.3822	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7084	0.7168	0.3824	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.744439	7.518474	18.446408	15.580981	20.739574	20.553833	0.464593	-0.105254	0.7117	0.7180	0.3754	8.871119	8.758538
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.154836	1.087725	1.938115	0.785886	0.500669	-0.345020	-2.066641	-1.635882	0.7095	0.7187	0.3726	3.271907	2.894603
2459550	RF_maintenance	-	89.29%	89.29%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.1974	0.1937	0.0703	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.751927	5.214274	13.747811	11.484305	14.504487	12.789509	-2.432256	-1.981795	0.7074	0.7189	0.3792	3.453918	3.161610
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.433742	5.235223	27.124427	23.127439	0.558262	0.838834	-1.999757	-1.401293	0.7552	0.7683	0.3395	3.171815	2.795430
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.257451	7.986744	22.421055	18.965914	21.034595	18.394908	-2.845946	-1.549226	0.7431	0.7441	0.3931	4.670061	4.101984
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.888485	1.345290	2.679587	1.763778	1.667142	-0.001453	-1.124311	-1.315093	0.7935	0.7783	0.3410	3.127861	2.722336
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.274228	1.008750	1.773863	0.945100	0.115435	-0.782882	-1.281435	-1.430323	0.7758	0.7703	0.3506	3.274563	3.181018
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.946130	5.659497	14.129173	11.754698	12.425598	11.780203	-2.700913	-2.329171	0.7297	0.7407	0.3818	3.085212	2.832161
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.334001	6.660593	18.491656	15.041867	15.490180	14.214097	-2.139542	-1.814909	0.7343	0.7417	0.3751	3.980127	3.587285
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.333530	1.078814	1.618375	0.715440	0.611059	-0.287219	-1.586514	-1.276394	0.7497	0.7525	0.3731	3.816938	3.292678
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.992355	7.141645	14.951319	12.552243	30.265094	21.484836	-1.736709	-0.821826	0.9075	0.9448	0.2834	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	8.454300	6.644818	20.396993	17.695398	12.766216	17.524830	-5.800785	-4.793885	nan	nan	nan	5.002812	4.455190
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.247677	5.637204	18.560161	15.003941	7.382394	14.387095	-3.095783	-0.937195	0.7031	0.7241	0.3108	4.402237	4.791446
2459513	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	5.069709	5.348783	31.298327	30.730568	7.190233	21.803110	2.689470	9.036211	0.8729	0.9200	0.2185	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.919138	7.563776	11.982585	9.620415	13.048233	8.670774	10.688726	10.807907	0.9109	0.9485	0.1859	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.540164	4.032710	15.042738	11.112079	4.261335	5.224116	-0.928059	-0.362219	0.8838	0.8690	0.1856	13.208246	16.262765
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	12.068098	10.090531	15.321578	12.686937	25.601879	21.165981	-1.391286	-0.817875	0.8805	0.8841	0.4136	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.742585	9.601125	15.437257	12.747210	20.589079	15.754192	0.313253	-0.423124	0.8916	0.9227	0.3723	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	14.057506	12.598455	13.668425	11.598079	19.834925	17.021572	-1.090414	-0.239620	0.9003	0.9183	0.3588	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	14.636589	13.382009	16.030893	13.439910	19.621059	16.990084	0.926614	7.363206	0.8927	0.9460	0.1768	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	14.162548	12.224855	13.302454	11.240738	17.507474	14.885025	-0.622933	0.113729	0.9100	0.9206	0.3922	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	16.726121	14.369813	14.156267	11.829645	22.446766	19.053140	-0.665425	0.173013	0.9097	0.9314	0.3528	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	17.124014	14.747358	12.731733	10.789477	19.620821	17.016845	-0.340447	0.301388	0.9040	0.9137	0.3667	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	13.835272	12.063750	11.596281	9.956730	16.822816	14.780936	-0.243840	1.713956	0.9010	0.9097	0.4023	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	18.816252	17.891143	14.664862	13.357014	22.389100	22.502355	3.292083	12.770631	0.8650	0.8813	0.4526	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.629400	10.589060	19.924470	16.702699	17.523125	16.884162	-5.323767	-3.614285	0.7505	0.8037	0.3253	0.000000	0.000000
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.859457	10.671474	20.912688	16.921742	24.143692	25.240042	0.469890	5.611720	0.7880	0.8177	0.2585	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.941027	10.506185	21.434533	17.813886	16.699261	15.741414	-1.491892	0.543807	0.7409	0.8026	0.3626	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.219292	8.981501	20.315444	16.637768	16.091133	15.273809	-1.363588	0.054251	0.7604	0.8125	0.3078	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.669463	8.705224	18.050431	15.244634	17.891813	17.596256	-3.007310	-2.154600	0.7604	0.8131	0.3444	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 123 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 123, Node 8:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 123: 2459595

Antenna 123: 2459594

Antenna 123: 2459593

Antenna 123: 2459592

Antenna 123: 2459591

Antenna 123: 2459590

Antenna 123: 2459589

Antenna 123: 2459588

Antenna 123: 2459587

Antenna 123: 2459586

Antenna 123: 2459585

Antenna 123: 2459584

Antenna 123: 2459583

Antenna 123: 2459582

Antenna 123: 2459581

Antenna 123: 2459580

Antenna 123: 2459579

Antenna 123: 2459578

Antenna 123: 2459577

Antenna 123: 2459576

Antenna 123: 2459575

Antenna 123: 2459574

Antenna 123: 2459573

Antenna 123: 2459572

Antenna 123: 2459571

Antenna 123: 2459570

Antenna 123: 2459569

Antenna 123: 2459566

Antenna 123: 2459565

Antenna 123: 2459564

Antenna 123: 2459563

Antenna 123: 2459562

Antenna 123: 2459561

Antenna 123: 2459560

Antenna 123: 2459559

Antenna 123: 2459558

Antenna 123: 2459556

Antenna 123: 2459552

Antenna 123: 2459551

Antenna 123: 2459549

Antenna 123: 2459542

Antenna 123: 2459541

Antenna 123: 2459540

Antenna 123: 2459536

Antenna 123: 2459535

Antenna 123: 2459534

Antenna 123: 2459533

Antenna 123: 2459532

Antenna 123: 2459530

Antenna 123: 2459527

Antenna 123: 2459524

Antenna 123: 2459523

Antenna 123: 2459522

Antenna 123: 2459513

Antenna 123: 2459508

Antenna 123: 2459506

Antenna 123: 2459505

Antenna 123: 2459503

Antenna 123: 2459501

Antenna 123: 2459500

Antenna 123: 2459499

Antenna 123: 2459498

Antenna 123: 2459497

Antenna 123: 2459496

Antenna 123: 2459495

Antenna 123: 2459494

Antenna 123: 2459492

Antenna 123: 2459491

Antenna 123: 2459490

Antenna 123: 2459489

Antenna 123: 2459488

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶